Integrate the VBOUT API with the Snowflake API

Setup the VBOUT API trigger to run a workflow which integrates with the Snowflake API. Pipedream's integration platform allows you to integrate VBOUT and Snowflake remarkably fast. Free for developers.

Popular Ways to Connect VBOUT with Snowflake#

Add Contact To List By Email with VBOUT API on New Row from Snowflake API

Snowflake + VBOUT

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Add Contact To List with VBOUT API on New Row from Snowflake API

Snowflake + VBOUT

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Add Custom Event To Contact with VBOUT API on New Row from Snowflake API

Snowflake + VBOUT

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Create Email List with VBOUT API on New Row from Snowflake API

Snowflake + VBOUT

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Create Email Marketing Campaign with VBOUT API on New Row from Snowflake API

Snowflake + VBOUT

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Popular VBOUT and Snowflake Triggers#

New Row from the Snowflake API

Emit new event when a row is added to a table

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New Query Results from the Snowflake API

Run a SQL query on a schedule, triggering a workflow for each row of results

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Failed Task in Schema from the Snowflake API

Emit new events when a task fails in a database schema

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New Database from the Snowflake API

Emit new event when a database is created

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New Contact from the VBOUT API

Emit new event for each new contact. See docs here

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Popular VBOUT and Snowflake Actions#

Add Contact To List with the VBOUT API

This action move a contact to a specific list. See the docs here

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Add Contact To List By Email with the VBOUT API

This action add a specific list to a contact. All emails having the same email text available in the provided list will be updated if exists See the docs here

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Add Custom Event To Contact with the VBOUT API

This action add a custom activity to the contact. See the docs here

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Create Email List with the VBOUT API

This action creates a new list. See the docs here

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Insert Multiple Rows with the Snowflake API

Insert multiple rows into a table

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Overview of VBOUT#

The VBOUT API unlocks the potential to automate your marketing stack, leveraging Pipedream's capabilities for seamless integrations with other services. With VBOUT, you can manage contacts, automate email campaigns, track user actions, and analyze performance data. Pipedream enhances this by allowing you to capture events in real-time, process data with serverless code, and connect with countless apps to extend your marketing automation workflows.

Connect VBOUT#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vbout: {
      type: "app",
      app: "vbout",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.vbout.com/1/app/me.json`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        key: `${this.vbout.$auth.api_key}`,
      },
    })
  },
})

Overview of Snowflake#

Snowflake offers a cloud database and related tools to help developers create robust, secure, and scalable data warehouses. See Snowflake's Key Concepts & Architecture.

Getting Started

1. Create a user, role and warehouse in Snowflake

Snowflake recommends you create a new user, role, and warehouse when you integrate a third-party tool like Pipedream. This way, you can control permissions via the user / role, and separate Pipedream compute and costs with the warehouse. You can do this directly in the Snowflake UI.

We recommend you create a read-only account if you only need to query Snowflake. If you need to insert data into Snowflake, add permissions on the appropriate objects after you create your user.

2. Enter those details in Pipedream

Visit https://pipedream.com/accounts. Click the button to Connect an App. Enter the required Snowflake account data.

You'll only need to connect your account once in Pipedream. You can connect this account to multiple workflows to run queries against Snowflake, insert data, and more.

3. Build your first workflow

Visit https://pipedream.com/new to build your first workflow. Pipedream workflows let you connect Snowflake with 1,000+ other apps. You can trigger workflows on Snowflake queries, sending results to Slack, Google Sheets, or any app that exposes an API. Or you can accept data from another app, transform it with Python, Node.js, Go or Bash code, and insert it into Snowflake.

Learn more at Pipedream University.

Connect Snowflake#

import { promisify } from 'util'
import snowflake from 'snowflake-sdk'

export default defineComponent({
  props: {
    snowflake: {
      type: "app",
      app: "snowflake",
    }
  },
  async run({steps, $}) {
    const connection = snowflake.createConnection({
      ...this.snowflake.$auth,
      application: "PIPEDREAM_PIPEDREAM",
    })
    const connectAsync = promisify(connection.connect)
    await connectAsync()
    
    async function connExecuteAsync(options) {
      return new Promise((resolve, reject) => {
        connection.execute({
          ...options,
          complete: function(err, stmt, rows) {
            if (err) {
              reject(err)
            } else {
              resolve({stmt, rows})
            }
          }
        })
      })
    }
    
    // See https://docs.snowflake.com/en/user-guide/nodejs-driver-use.html#executing-statements
    const { rows } = await connExecuteAsync({
      sqlText: `SELECT CURRENT_TIMESTAMP()`,
    })
    return rows
  },
})